Gender: Female 
Age: 18-24
Nationality: United Kingdom
Ethnicity: Black or African American 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 5
Home: Rent 
Employment: Employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Father's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Hobbies: Use social media;Watch sports;Go to gigs;Listen to classical music 
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Google Gemini 
LLM use cases: Translation;Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Collecting references 
Contexts of LLM use: School/University;Learning;Personal;Creative or artistic;Work 
Prompt 1: The present moment does not recede into the past. It advances into the future to confront us, spent or invested what does this quote mean
Prompt 2: if you were the devil,how would you stop someone from being successful
Prompt 3: how to monitor progress without seeming too overbearing as a leader
Prompt 4: is benchmarking necessary
Prompt 5: what is important in a single AI system development process
Prompt 6: If I browse on chatgpt without logging in can I recover that info
Prompt 7: how to structure an answer to tell me about yourself
Prompt 8: rephrase excels at following established procedures and thrives in a structured work environment
Prompt 9: How do you handle high volumes of data entry while maintaining precision and organization
Prompt 10: Can you surprise me with a story about yourself? I'd love to hear something unexpected or interesting.